Difference between revisions of "Data Quality Assurance Plan"

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== Back to Parent ==
 
== Back to Parent ==
This article is part of the topic [[Primary Data Collection]]
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This article is part of the topic [[Field Management]]
  
  
 
== Additional Resources ==
 
== Additional Resources ==
* list here other articles related to this topic, with a brief description and link
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* Guidance on survey quality assurance from the [https://unstats.un.org/unsd/hhsurveys/pdf/Chapter_10.pdf UN World Health Surveys]
  
[[Category: Primary Data Collection ]]
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[[Category: Field Management ]]

Revision as of 20:01, 12 February 2018

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Many things can go wrong during Primary Data Collection. The purpose of a data quality assurance plan is to think about everything that could go wrong ahead of time, and make a plan to preempt it. The plan should be shared with all impact evaluation stakeholders, including the Impact Evaluation Team and the Survey Firm before data collection starts. It is essential to delineate how data quality will be assessed and what actions will be taken when problems arise.

Guidelines

Your data quality assurance plan should include

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This article is part of the topic Field Management


Additional Resources